Spatial synoptic classifications projected for the 21st century in Minneapolis-St Paul, Minnesota

Twine, Tracy, E
Birkel, Jonathan F H
Liess, Stefan
Kalkstein, Larry S
Sheridan, Scott
2022-10-17
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https://doi.org/10.13020/MCVZ-DX50
 https://hdl.handle.net/11299/241954
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Collection Period

2020
2021

Date Completed

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Volume Title

Title

Spatial synoptic classifications projected for the 21st century in Minneapolis-St Paul, Minnesota

Published Date

2022-10-17

Authors

Group

University of Minnesota Climate Adaptation Partnership

Author Contact

Twine, Tracy E
twine@umn.edu

Type

Dataset
Simulation Data

Abstract

This dataset consists of (1) CMIP5 climate projections from 8 global climate models through the 21st century, downscaled with the Weather Research Forecast model, output into time series for the model grid cell containing the Minneapolis-St Paul International airport, and (2) spatial synoptic classifications for this climate dataset, under RCP4.5 and RCP8.5 emissions scenarios.

Description

1. Dynamically downscaled climate data for the Minneapolis-St Paul International airport used as input to the spatial synoptic classification algorithm. Data contains twenty years of daily climate data dynamically downscaled from 8 global climate models for each of two emissions scenarios. Data includes the RCP4.5 scenario which is valid for the middle of the 21st century (circa 2040-2059), the RCP4.5 scenario which is valid for the end of the 21st century (circa 2080-2099), and the RCP8.5 scenario which is valid for the end of the 21st century (circa 2080-2099). 2. Spatial synoptic classifications for each day of the climate dataset described above. Please see detailed documentation included with the data files.

Referenced by

Jonathan F.H. Birkel, Tracy E. Twine, Stefan Liess, Larry S. Kalkstein, Scott Sheridan. (2022). Trends in synoptic heat events in four Minnesota urban areas through the 21st century, Urban Climate, Volume 46: 101307.
https://doi.org/10.1016/j.uclim.2022.101307

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License

Attribution-NonCommercial 4.0 International
https://creativecommons.org/licenses/by-nc/4.0/

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Data Repository for U of M (DRUM)

Funding Information

This work was supported by U.S. Department of Agriculture National Institute for Food and Agriculture, grant number 2019-67019-30463, and the Department of Soil, Water, and Climate Allmaras-Howe Fellowship, University of Minnesota.

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Suggested Citation

Twine, Tracy, E; Birkel, Jonathan F H; Liess, Stefan; Kalkstein, Larry S; Sheridan, Scott. (2022). Spatial synoptic classifications projected for the 21st century in Minneapolis-St Paul, Minnesota. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/MCVZ-DX50.

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climate_1980-1999_GCM01.csv
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(2.81 MB)
climate_1980-1999_GCM02.csv
Climate Data
(3.39 MB)
climate_1980-1999_GCM03.csv
Climate Data
(3.41 MB)
climate_1980-1999_GCM04.csv
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(3.18 MB)
climate_1980-1999_GCM05.csv
Climate Data
(3.46 MB)

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